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Organizations frequently fail to sustain transformation despite substantial investment in leadership development, cultural change programs, and structural redesign. Existing frameworks tend to treat organizational stabil...

BackgroundDelivering accurate radiation doses in heterogeneous tissues is critical in radiotherapy, yet conventional algorithms often lose accuracy in complex scenarios. Monte Carlo (MC) simulation offers a high-fidelity...

Regulatory science governing monoclonal antibody development has undergone a profound transformation over the past decade, shifting from empiricism-driven paradigms toward evidence-efficient, mechanism-based frameworks g...

BackgroundThe integration of artificial intelligence (AI) into emergency medicine holds promise for enhancing early diagnosis and clinical decision-making. Traditional diagnostic approaches often rely on physician judgme...

BackgroundThe ubiquitin–proteasome pathway is a critical therapeutic target in malignancies, particularly multiple myeloma. The development of proteasome inhibitors (PIs) has marked a milestone in multiple myeloma ther...

IntroductionPancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive and invasive malignancies, with limited response to the currently available systemic therapy options. Having a 5-year survival of 12%...

IntroductionTo optimize radiotherapy treatment and minimize toxicities, effective segmentation of organs-at-risk (OARs) and clinical target volume (CTV) is essential. Deep learning (DL) models can achieve high segmentati...

Alveolar–interstitial syndrome (AIS) is a common ultrasonographic finding in dogs and cats with pulmonary pathology, including cardiogenic pulmonary edema, noncardiogenic pulmonary edema, pneumonia, acute respiratory d...